jin-sj

rl-paper-study

Reinforcement Learning paper review study

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

bootcamp005_project

Bootcamp 5 Student Project Presentation

kur

Descriptive Deep Learning

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

khaiii

Kakao Hangul Analyzer III

PyKoSpacing

Automatic Korean word spacing with Python

elasticsearch-analysis-openkoreantext

Korean analysis plugin that integrates open-korean-text module into elasticsearch.

hanspell

(주)다음과 부산대학교 인공지능연구실/(주)나라인포테크의 웹 서비스를 이용한 한글 맞춤법 검사기.

hunspell-dict-ko

Korean spellchecking dictionary for Hunspell

hunspell-dict-ko

Korean spellchecking dictionary for Hunspell

py-hanspell

파이썬 한글 맞춤법 검사 라이브러리. (네이버 맞춤법 검사기 사용)

konlpy

Python package for Korean natural language processing.

Awesome-Korean-NLP

A curated list of resources for NLP (Natural Language Processing) for Korean

KoBERT

Korean BERT pre-trained cased (KoBERT)

project-based-learning

Curated list of project-based tutorials

course-v3

The 3rd edition of course.fast.ai

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

swift-jupyter

datascience

Curated list of Python resources for data science.

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

swift

Swift for TensorFlow

PyTorch

Deep Learning Zero to All - Pytorch

open-source-cs

Video discussing this curriculum:

CALS

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

gym

A toolkit for developing and comparing reinforcement learning algorithms.